Author(s): Wang, K (Wang, Kun); Liao, YT (Liao, Yitao); Li, WH (Li, Wenhao); Li, JL (Li, Junlong); Su, H (Su, Hao); Chen, R (Chen, Rong); Park, JH (Park, Jae Hyeon); Zhang, YA (Zhang, Yongai); Zhou, XT (Zhou, Xiongtu); Wu, CX (Wu, Chaoxing); Liu, ZQ (Liu, Zhiqiang); Guo, TL (Guo, Tailiang); Kim, TW (Kim, Tae Whan)

Source: NATURE COMMUNICATIONS Volume: 15  Issue: 1  Article Number: 3505  

DOI: 10.1038/s41467-024-47641-6  Published Date: 2024 APR 25  

Abstract: The development of optoelectronics mimicking the functions of the biological nervous system is important to artificial intelligence. This work demonstrates an optoelectronic, artificial, afferent-nerve strategy based on memory-electroluminescence spikes, which can realize multiple action-potentials combination through a single optical channel. The memory-electroluminescence spikes have diverse morphologies due to their history-dependent characteristics and can be used to encode distributed sensor signals. As the key to successful functioning of the optoelectronic, artificial afferent nerve, a driving mode for light-emitting diodes, namely, the non-carrier injection mode, is proposed, allowing it to drive nanoscale light-emitting diodes to generate a memory-electroluminescence spikes that has multiple sub-peaks. Moreover, multiplexing of the spikes can be obtained by using optical signals with different wavelengths, allowing for a large signal bandwidth, and the multiple action-potentials transmission process in afferent nerves can be demonstrated. Finally, sensor-position recognition with the bio-inspired afferent nerve is developed and shown to have a high recognition accuracy of 98.88%. This work demonstrates a strategy for mimicking biological afferent nerves and offers insights into the construction of artificial perception systems.

In this work, a nanoscale light-emitting diode with memory-electroluminescence is demonstrated, which is used for mimicking the generation of multiple action-potentials and their combinations in bio-inspired afferent nerves.